class_docstr: Logger class.
code: def record_dictionary_scalars(self, prefix, scalar_dict, step):
      for key, val in scalar_dict.items():
          name = f"{prefix}{key}"
          if isinstance(val, tf.Tensor):
              val = val.numpy()
          self.record_scalar(name, val, step)
      tf.summary.flush()
  
file_path: graphics/tensorflow_graphics/projects/points_to_3Dobjects/utils/logger.py
imports: import collections
  import os
  import tensorflow
label_desc: Use image node_id 3 for calling the Logger obj's underlying member method code with example usage: obj.record_dictionary_scalars(prefix, scalar_dict, step) without return types